Thilina Rajapakse

simpletransformers. Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

pytorch-transformers-classification. Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

BERT_binary_text_classification. Accompanying code for the Medium article

low-resource-language-models. Python

pytorch-pretrained-BERT. 📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

pseudoscience-detection-irl. Python

negative-sampling-repro. Code for the paper "Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting"

dense-retrieval. Jupyter Notebook

Pseudoscience-Dataset. Python

CS105_Solutions. Solutions to the Labsheets given in CS105 course at University of Peradeniya, Faculty of Science, in 2018.

rsrr. Python